‫Another type of database we have
‫on AWS is Amazon EMR, and EMR stands for Elastic MapReduce.
‫So EMR is actually not really a database.
‫It's to create what's called a Hadoop cluster
‫when you wanna do big data on AWS,
‫and a Hadoop cluster is used to analyze
‫and process vast amount of data.
‫So Hadoop is an open source technology,
‫and they allow multiple servers that work in a cluster
‫to analyze the data together, and so when you're using EMR,
‫you can create a cluster made of hundreds of EC2 instances
‫that will be collaborating together to analyze your data.
‫So part of the Hadoop ecosystem, the Big Data ecosystem,
‫you will see projects names such as Apache Spark, HBase,
‫Presto, and Flink, and all these things
‫will be working on top of your Hadoop cluster.
‫So what is EMR then?
‫Well, EMR takes care of provisioning all these EC2 instances
‫and configuring them so that they work together
‫and can analyze together data from a big data perspective.
‫Finally, it has auto-scaling
‫and it is integrated with Spot instances,
‫and the use cases for EMR will be data processing,
‫machine learning, web indexing, or big data in general.
‫So from an exam perspective,
‫any time you see Hadoop cluster,
‫think no more, it's going to be Amazon EMR.
‫That's it, I hope that was helpful,
‫and I will see you in the next lecture.